Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)
Summarization of static graphs using the Minimum Description Length principle
Personalized knowledge graph summarization based on historical queries
Framework for latent network summarization: bridging network embedding and summarization
scaling RGCN training with graph summaries
Use LLM to describe a difference graph between versions of a compositional document (DOT graph).
The Graph Summarizer project is a command line project focusing on on simplifying complex graphs into short summaries while maintaining crucial information. Its goal is to help in easier visualization and analysis of graph data, increasing understanding and help people make smarter decisions.
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